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Commify

Senior Project Manager – AI and Data Transformation

Commify

. Manage core projects establishing a unified, enterprise data architecture .

Posted 10/23/2026full-timeNottingham • United KingdomSenior💰 £60,000 - £75,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in managing enterprise data architecture projects, driving AI adoption, and implementing change management frameworks to foster data-led decision-making. Skilled in translating technical concepts into business narratives and navigating complex stakeholder environments.

Highest-signal resume keywords
Project Management ExperienceChange Management FrameworksAI Adoption and ImplementationData Architecture IntegrationStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data GovernanceData IntegrationAgile MethodologiesWaterfall MethodologiesMachine Learning ImplementationAutomation SolutionsRisk ManagementKPI DevelopmentTechnical ArchitectureData Privacy Standards
Soft Skills
Communication SkillsDiplomatic Conflict ResolutionAdaptability to AmbiguityStakeholder Credibility BuildingOrganizational Change Management
Tools & Technologies
AI ToolsData Management PlatformsProject Management SoftwareCollaboration ToolsBusiness Intelligence Tools
Certifications & Qualifications
PRINCE2PMPAgilePMCSMChange Management Accreditation
Industry Keywords
B2B SaaSEnterprise Data ArchitectureData-Led Decision-MakingTransformation ProjectsCross-Functional Teams

Tech Stack

Tools & technologies
PMP

About the role

Key responsibilities & impact
  • Manage core projects establishing a unified, enterprise data architecture
  • Deliver data hygiene, integration, and governance initiatives
  • Lead organisational change management to foster data-led decision-making
  • Partner with data architects and engineering teams to ensure data integrity, security, and accessibility
  • Support milestones within the enterprise AI adoption programme
  • Identify operational bottlenecks and deploy AI-enabled solutions and automated workflows
  • Lead projects involving senior stakeholders across Product, Engineering, Sales, Marketing, Finance, and Operations
  • Build stakeholder credibility, align priorities, and navigate resistance to change
  • Translate complex technical concepts into clear business narratives for executive sponsors, Steering Committees, and broader teams
  • Establish project scope, milestones, KPIs, and risk management frameworks
  • Use Agile, Waterfall, or hybrid methodologies suited to rapid deployment

Requirements

What you’ll need
  • Proven Project Management Experience leading complex, end-to-end transformation projects, ideally within a fast-paced B2B SaaS or technology environment
  • Hands-on experience managing enterprise data projects focusing both on technical architecture integration and driving long-term behavioural shifts towards data adoption
  • Strong background in change management frameworks, with proven capability in embedding new ways of working within cross-functional teams
  • Experience or strong interest in delivering AI adoption, machine learning implementation, or intelligent automation projects that achieve tangible business outcomes is desirable
  • Ability to step into an active transformation environment and deliver structured outcomes quickly
  • Recognised Project Management qualifications (e.g., PRINCE2, PMP, AgilePM, CSM) or Change Management accreditations are highly desirable
  • Skilled at navigating complex matrix environments, managing expectations, and resolving friction diplomatically
  • Comfortable managing ambiguity in an organisation undergoing significant evolution
  • Ability to map technical outputs directly to business value, efficiency gains, and bottom-line impact
  • Outstanding written and verbal communication skills
  • Ability to navigate, evaluate, and adopt domain-specific AI tools
  • Skill in structuring clear inputs and contexts to extract accurate, high-value outputs from AI platforms
  • Ability to critically evaluate AI-generated outputs for accuracy, hallucination, bias, relevance, and alignment with organisational standards
  • Adheres strictly to company data privacy standards and AI Policy guardrails
  • Regularly identifies repetitive, low-value tasks that can be automated or accelerated

Benefits

Comp & perks
  • Competitive salary: £60 - 75,000
  • Company bonus
  • Flexible working
  • 27 days holiday plus Bank Holidays
  • Enhance family leave
  • Birthday day off
  • Mental Health Support through our Wellbeing partner, Calm
  • Wellbeing leave (2 days) and a Mental Health First Aider program
  • Giving back days (2 days) to help support causes close to your heart
  • Unlimited professional & personal learning
  • Total Rewards, including retirement planning, healthcare and life assurance
  • Epic team socials